Bingming Yi

12 papers receiving 892 citations

Peers

Bingming Yi
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 796
  • Oncology 320
  • Pharmacology 160
  • Cellular and Molecular Neuroscience 162
  • Surgery 297
Replace Ulrike Graefe‐Mody with:
Ulrike Graefe‐Mody Germany
Silke Retlich Germany
D Hilliard United States
Josée Côté United States
Michelle A. Baron United States
Deborah Hilliard United States
Carolyn Mickel United States
Kazutaka Aoki Japan
Lawrence J. Kennedy United States
Andreas Greischel Germany
Bingming Yi relative to Ulrike Graefe‐Mody Germany Ulrike Graefe‐Mody's profile →
Citations per field
00.5×1.6×
Ulrike Graefe‐Mody · 1×
Citations per year

Countries citing papers authored by Bingming Yi

Since Specialization
Citations

This map shows the geographic impact of Bingming Yi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bingming Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingming Yi more than expected).

Fields of papers citing papers by Bingming Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bingming Yi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bingming Yi. The network helps show where Bingming Yi may publish in the future.

Co-authors

The 25 scholars most cited alongside Bingming Yi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bingming Yi Line = papers co-authored together Bingming Yi links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2005414
2 2006220
3 2007151
4 200677
5 201029
6 201918
7 200611
8 20069
9 20027
10 20182
11 20211
12
Nonparametric, Parametric and Semiparametric Models for Screening and Decoding Pools of Chemical Compounds
20021
13 20230
14 20250

About Bingming Yi

Bingming Yi is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Statistics and Probability, Surgery and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 940 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (7 papers), Peptidase Inhibition and Analysis (6 papers), Statistical Methods and Inference (3 papers), Statistical Methods in Clinical Trials (3 papers), Pancreatic function and diabetes (2 papers), Neuropeptides and Animal Physiology (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (796 citations), Oncology (320 citations), Pharmacology (160 citations), Cellular and Molecular Neuroscience (162 citations) and Surgery (297 citations). Bingming Yi has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Arthur Bergman, Gary Herman, Karen Snyder, Wesley Tanaka, Michael Tanen, D Hilliard, Koen Vandyck, C. Melinda Stevens, John A. Wagner and Keith Gottesdiener. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Current Medical Research and Opinion, Diabetes Care, British Journal of Clinical Pharmacology and Statistics in Biopharmaceutical Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact